Support Vector Machine is small sample method based on statistic learning theory. It is a new method
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonli…
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Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonli…
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive …
主要是KNN(the k-nearest neighbor algorithm ),LVQ1(learning vector quantization 1), DSM(decision surface mapping)算法。 and a simple clus…
web 2.0 application,uses the ajax technology,is a good usecase for ajax learning ,contain the whole aspects of ajax,view a lovely …
决策树,Machine Learning, Tom Mitchell, McGraw Hill,第3章决策树源码
算法实现:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
Learning GNU Emacs 3ed. Emacs和Vi是世界上最好用的编辑器,这本书是Emacs的入门教材。
Pattern Recognition and Machine Learning Bishop-.pdf 非常好的一本书, pattern recognition 必读
单片机C语言学习好资料 Single-chip C language learning good information
Learning Python 英文原版第一版、第二版和第三版合集。